AgentBrake — Runtime Safety Proxy & Circuit Breaker for AI Agent Startups
AI agents are going to production — and exploding. Literally. A Reddit founder watched his agent loop 8,000 times in 4 hours, racking up $340 in API fees for what should've been a 2-minute call summarization. Amazon's Kiro agent deleted a production environment and caused a 13-hour AWS outage after
AgentBrake — Runtime Safety Proxy & Circuit Breaker for AI Agent Startups
The Problem
AI agents are going to production — and exploding. Literally. A Reddit founder watched his agent loop 8,000 times in 4 hours, racking up $340 in API fees for what should've been a 2-minute call summarization. Amazon's Kiro agent deleted a production environment and caused a 13-hour AWS outage after inheriting elevated permissions. Meta's rogue agent triggered a major security alert by acting without approval, exposing sensitive data.
The problem isn't that agents fail. It's that they fail expensively and silently. A "silent failure" mode means the agent appears to work correctly but made a faulty assumption many steps ago, cascading incorrect outputs while burning tokens. Traditional rate limiters catch request volume — they don't catch an agent semantically repeating the same reasoning loop in slightly different words.
Small teams building with AI agents describe the experience as "constant babysitting." They're spending more time monitoring agents than building features. The tools that exist — Galileo, Mavvrik, CrowdStrike Falcon — are enterprise-grade at enterprise prices ($50K-$500K/yr). Startups deploying their first agents have zero affordable runtime protection.
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